Visualization of 2D and 3D Object Detection System
Keywords:
3D object detection, centralization, objectsAbstract
Existing 3D representations for RGB-D images capture the local shape and appearance of object categories, but have limited power to represent objects with different visual styles. The detection of small objects is also challenging because the search space is very large in 3D scenes. However, we observe that much of the shape variation within 3D object categories can be explained by the location of a latent support surface, and smaller objects are often supported by larger objects. Based on this simple sensor modality for practical applications, deep learning- based monocular 3D object detection methods that overcome significant research challenges are categorized and summarized. This paper gives a visualization of 2d and 3d object detection system.
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